Job Title
Pioneering Principal Scientist In Silico Biologics Design
About Us {company} is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease.
Our Mission We strive to create a diverse and inclusive workplace, while seeking talented individuals to work with us across the many functions that will allow us to deliver new medicines to transform the lives of patients.
Key Responsibilities To drive the establishment of robust in silico methodologies that integrate computational predictions with empirical laboratory data to revolutionise the design of our class-leading T-cell receptor (TCR) drugs. Using our wealth of structural data, combined with further in-house and public domain data sets, you will develop ML algorithms to impact the design of future drugs.
Responsibilities: Develop and assess advanced machine learning (ML) models for novel antibody and TCR drug candidate optimisation and, looking to impact de novo drug design in the future Utilise our extensive in-house structural and specificity data sets to extract further value Work with colleagues across Research to identify training data from the public domain and help shape the development of our in-house data sets to support the optimisation of ML algorithms Drive the establishment of virtual screening tools including: Protein structure prediction Affinity prediction Peanut human leukocyte antigen (pHLA) specificity prediction Developability prediction Assist with TCR library design for multifactorial lead optimisation Work with interdisciplinary teams across structural biology, next-generation sequencing (NGS), and bioinformatics and data science to integrate machine learning into TCR discovery and optimisation. Work with scientists to validate and integrate new methodologies into existing architecture. Promote utilisation of ML algorithms among colleagues and mentor and train others in their deployment Present research outcomes at all levels, including Protein Engineering lab meetings, Research leadership team meetings, other governance meetings and at external conferences
Requirements To be successful in this role, you will need:
Demonstrated ability to build and evaluate machine learning models At least 8 years of experience in antibody, TCR or biologics design, evidenced by a strong publication record. Proficiency with protein ML models such as AlphaFold, ESMFold, RFdiffusion, MPNN Advanced Python programming skills, focusing on data science and machine learning. Managed sizeable research projects, understanding the wider implications of project outcomes and strategic objectives. Demonstrates effective coaching skills and brings vision and strategy to life for others. Exceptional communication skills. Demonstrated ability to build and sustain networks and external collaboration with scientific leaders in the field.
What We Offer We offer a competitive salary of $120,000 - $180,000 per annum, depending on experience. This role also offers opportunities for professional growth and development, as well as a chance to work on cutting-edge technology and make a real difference in the lives of patients.
About Us {company} is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease.
Our Mission We strive to create a diverse and inclusive workplace, while seeking talented individuals to work with us across the many functions that will allow us to deliver new medicines to transform the lives of patients.
Key Responsibilities To drive the establishment of robust in silico methodologies that integrate computational predictions with empirical laboratory data to revolutionise the design of our class-leading T-cell receptor (TCR) drugs. Using our wealth of structural data, combined with further in-house and public domain data sets, you will develop ML algorithms to impact the design of future drugs.
Responsibilities: Develop and assess advanced machine learning (ML) models for novel antibody and TCR drug candidate optimisation and, looking to impact de novo drug design in the future Utilise our extensive in-house structural and specificity data sets to extract further value Work with colleagues across Research to identify training data from the public domain and help shape the development of our in-house data sets to support the optimisation of ML algorithms Drive the establishment of virtual screening tools including: Protein structure prediction Affinity prediction Peanut human leukocyte antigen (pHLA) specificity prediction Developability prediction Assist with TCR library design for multifactorial lead optimisation Work with interdisciplinary teams across structural biology, next-generation sequencing (NGS), and bioinformatics and data science to integrate machine learning into TCR discovery and optimisation. Work with scientists to validate and integrate new methodologies into existing architecture. Promote utilisation of ML algorithms among colleagues and mentor and train others in their deployment Present research outcomes at all levels, including Protein Engineering lab meetings, Research leadership team meetings, other governance meetings and at external conferences
Requirements To be successful in this role, you will need:
Demonstrated ability to build and evaluate machine learning models At least 8 years of experience in antibody, TCR or biologics design, evidenced by a strong publication record. Proficiency with protein ML models such as AlphaFold, ESMFold, RFdiffusion, MPNN Advanced Python programming skills, focusing on data science and machine learning. Managed sizeable research projects, understanding the wider implications of project outcomes and strategic objectives. Demonstrates effective coaching skills and brings vision and strategy to life for others. Exceptional communication skills. Demonstrated ability to build and sustain networks and external collaboration with scientific leaders in the field.
What We Offer We offer a competitive salary of $120,000 - $180,000 per annum, depending on experience. This role also offers opportunities for professional growth and development, as well as a chance to work on cutting-edge technology and make a real difference in the lives of patients.
